Is There a Causal Effect of Working Part‐Time on Current and Future Wages?

In this paper, I study the causal effects of part‐time work on current and future wages. To estimate these effects, I use a random effects model with a wage equation capturing the employment history and a dynamic multinomial probit component for the choice of employment status. Exclusion restrictions from the institutional context are exploited to support identification. The results suggest that working part‐time with few hours has a large causal effect on current wages, but more extensive part‐time work does not reduce current wages. However, both types of part‐time work lead to negative long‐term wage effects.     

Guest satisfaction in independent and affiliated to chain hotels

In the hotel sector, two basic organisational forms can be distinguished, independent and chain-affiliated, which reflects in the entities' management processes and in the dimensions of the hotel service. Guest satisfaction is the determinant of and the secret to success in the hotel industry, nevertheless the comparison of customer satisfaction of both operational models is scarce. The main goal of this work is to determine whether those differences exist, considering the geographical scope and size of the chain in linked hotels. Customer satisfaction was analysed in 404 four and five-star hotels, measured through the hotel ratings from online travel agent Booking.com, in two tourism destinations in Spain using the Rasch Measurement Theory. Results obtained indicate that the superiority in customer satisfaction of one of these management forms shows for specific dimensions of the service provided.     

Growth uncertainty,generalized disappointment aversion and production-based asset pricing

We study a production economy with regime switching in the conditional mean and volatility of productivity growth. The representative agent has generalized disappointment aversion (GDA) preferences. We show that volatility risk in productivity growth carries a positive and sizable risk premium in levered equity. Our model can endogenously generate long-run risks in the volatility of consumption growth observed in the data. We show that introducing leverage with a procyclical dividend process consistent with the data is critical for the GDA preferences to have a large impact on equity returns.     

Non-linear dynamics in international resource markets: Evidence from regime switching approach

This paper examines the nonstationary and nonlinear features of the non-renewable resource markets: the crude oil (US West Texas Intermediate and UK Brent), bituminous coal and natural gas markets. In particular, we achieve this goal by using the Markov switching unit root regression. This approach is attractive because it allows price to switch between stationary and nonstationary regimes (partial nonstationarity). It also allows price to switch between two stationary regimes (varied stationarity) or to switch between two nonstationary regimes (varied nonstationarity). The results of a range of non-linear tests show that the independently and identically distributed (i.i.d.) hypothesis or the random walk hypothesis is untenable for the non-renewable resource prices. The results from the Markov regression indicate that, in the cases of US West Texas Intermediate, UK Brent as well as bituminous coal, prices are characterized by the local nonstationarity in both regimes, and therefore varied nonstationarity is sustained. The price of natural gas is characterized by partial nonstationarity, indicating that this market is inconsistent with the efficient market.     

A Generalized Nash Equilibrium network model for post-disaster humanitarian relief

We develop a Generalized Nash Equilibrium network model for post-disaster humanitarian relief by nongovernmental organizations (NGOs). NGOs derive utility from providing relief supplies to victims of the disaster at demand points in a supply chain context while competing with each other for financial funds provided by donations. The shared constraints consist of lower and upper bounds for demand for relief items at the demand points to reduce materiel convergence or congestion. This game theory problem is reformulated as an optimization problem and numerical examples and a theoretical case study on Hurricane Katrina given.     

Cities and cyberspace: new entrepreneurial strategies

E-commerce is increasingly influencing business operations, as a major supportive medium for different strategies or as a strategy on its own. This paper seeks to identify impacts from concomitant changes on the development of cities. To this purpose, emerging time-based strategies are analysed in manufacturing and customer-services strategies are analysed in the services sector. The focus of the study is on proximity needs and what these needs imply for elimination of physical segments from value chains and insertion of virtual segments into these chains. The findings are then linked with trends for agglomeration or spread of urban activity. The conclusion is that the future of cities is far from clear. Trends for agglomeration go hand in hand with trends for spread on different spatial levels. In addition, there are huge knowledge gaps. The paper concludes with suggestions for further research to fill these gaps.     

Regulations for the Eighth International Congress of Actuaries

Abstract

The present paper proposes and investigates a procedure for numerical evaluation of the transition probabilities for a time-inhomogeneous Markov process when the intensities are known (estimated). The procedure is based on Taylor-expansion of the transition probabilities linked with the Chapman-Kolmogorov equations.     

OUTPUT FLUCTUATIONS PERSISTENCE: DO CYCLICAL SHOCKS MATTER?

The aim of this paper is to identify the different sources of persistence of output fluctuations. We propose an unobserved components model that allows us to decompose GDP series into a trend component and a cyclical component. We let the drift of the trend component switch between different regimes according to a first‐order Markov process. To calculate an appropriate p‐value for a test of linearity we propose a bootstrap procedure, which allows for general forms of heteroscedasticity. The performance of the bootstrap is checked by means of a Monte Carlo simulation. Our study concerns the USA. We find that cyclical shocks appear to play an important role on the observed persistence of output.     

The role of stochastic volatility and return jumps: reproducing volatility and higher moments in the KOSPI 200 returns dynamics

This paper investigates the role of stochastic volatility and return jumps in reproducing the volatility dynamics and the shape characteristics of the Korean Composite Stock Price Index (KOSPI) 200 returns distribution. Using efficient method of moments and reprojection analysis, we find that stochastic volatility models, both with and without return jumps, capture return dynamics surprisingly well. The stochastic volatility model without return jumps, however, cannot fully reproduce the conditional kurtosis implied by the data. Return jumps successfully complement this gap. We also find that return jumps are essential in capturing the volatility smirk effects observed in short-term options.

跳跃随机波动的阈值模型风险值的贝叶斯估计

文章基于一类跳跃随机波动的阈值模型风险值估计贝叶斯分析,在给定先验分布下,以马尔科夫链蒙特卡洛方法估计模型中的未知参数,并给出了MCMC模拟算法,进而讨论了风险值的预测。根据模拟结果,我们得知,如果没有考虑金融时间序列的外生冲击导致的跳跃行为,将会高估风险值,因此考虑跳跃行为后,将增加风险值估计的精度。